The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-13"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "20905891 (up from 20630768 yesterday: 1.33 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "755589 (up from 749588 yesterday: 0.8 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5394734

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.61



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5248854 51443 0.99 1210106 167110 1076 0.65 3.18
Brazil 3224876 60091 1.90 937401 105463 1262 1.21 3.27
India 2461190 64553 2.69 1173082 48040 1007 2.14 1.95
Russia 905762 5017 0.56 112042 15353 122 0.80 1.70
South Africa 572865 3946 0.69 164813 11270 260 2.36 1.97
Mexico 505751 7371 1.48 135039 55293 627 1.15 10.93
Peru 498555 0 0.00 127459 21713 0 0.00 4.36
Colombia 433805 11286 2.67 207432 14145 308 2.23 3.26
Chile 380034 1866 0.49 41275 10299 94 0.92 2.71
Spain 337334 7550 2.29 67168 28605 26 0.09 8.48
Iran 336324 2625 0.79 52290 19162 174 0.92 5.70
United Kingdom 315600 19 0.01 16869 46791 0 0.00 14.83
Saudi Arabia 294519 1482 0.51 34125 3303 34 1.04 1.12
Pakistan 286674 0 0.00 16274 6139 0 0.00 2.14
Argentina 276072 7498 2.79 128045 5362 149 2.86 1.94
Bangladesh 269115 2617 0.98 53005 3557 44 1.25 1.32
Italy 252235 522 0.21 6897 35231 6 0.02 13.97
Turkey 245635 1243 0.51 22320 5912 21 0.36 2.41
France 244096 8 0.00 27429 30392 17 0.06 12.45
Germany 222281 1422 0.64 17400 9217 4 0.04 4.15
Iraq 164277 3841 2.39 62051 5641 53 0.95 3.43
Philippines 147526 3777 2.63 73136 2426 22 0.92 1.64
Indonesia 132816 2098 1.60 39159 5968 65 1.10 4.49
Canada 123180 477 0.39 8782 9063 11 0.12 7.36
Qatar 114281 343 0.30 6037 190 0 0.00 0.17
Kazakhstan 101848 476 0.47 23362 1269 0 0.00 1.25
Ecuador 98343 1233 1.27 20195 6010 26 0.43 6.11
Bolivia 96459 1388 1.46 31207 3884 57 1.49 4.03
Egypt 96108 145 0.15 5695 5107 22 0.43 5.31
Israel 89822 1671 1.90 31840 651 12 1.88 0.72
China 89144 99 0.11 3099 4700 3 0.06 5.27
Ukraine 88136 1632 1.89 24967 2023 24 1.20 2.30
Sweden 83852 397 0.48 5089 5776 2 0.03 6.89
Dominican Republic 83134 910 1.11 25519 1393 22 1.60 1.68
Oman 82531 232 0.28 9885 551 12 2.23 0.67
Panama 78446 1069 1.38 21629 1722 19 1.12 2.20
Belgium 76191 544 0.72 11344 9916 16 0.16 13.01
Kuwait 74486 701 0.95 12614 489 0 0.00 0.66
Belarus 69203 101 0.15 2515 599 4 0.67 0.87
Romania 66631 1454 2.23 25356 2860 53 1.89 4.29
United Arab Emirates 63489 277 0.44 5501 358 0 0.00 0.56
Netherlands 62406 688 1.11 9766 6187 5 0.08 9.91
Guatemala 60284 1195 2.02 18092 2296 29 1.28 3.81
Singapore 55497 102 0.18 6399 27 0 0.00 0.05
Poland 54487 811 1.51 12907 1844 14 0.77 3.38
Portugal 53548 325 0.61 4169 1770 6 0.34 3.31
Japan 52471 1183 2.31 24357 1073 7 0.66 2.04
Honduras 49042 385 0.79 12140 1542 9 0.59 3.14
Nigeria 48116 373 0.78 9168 966 10 1.05 2.01
Bahrain 45726 462 1.02 7730 167 1 0.60 0.37
Ghana 41725 153 0.37 12053 223 0 0.00 0.53
Kyrgyzstan 41069 310 0.76 9822 1487 3 0.20 3.62
Armenia 41023 229 0.56 4861 809 3 0.37 1.97
Morocco 37935 1241 3.38 19671 584 28 5.04 1.54
Afghanistan 37424 79 0.21 1496 1363 9 0.66 3.64
Switzerland 37403 234 0.63 3403 1991 0 0.00 5.32
Algeria 37187 488 1.33 11703 1341 8 0.60 3.61
Azerbaijan 33915 91 0.27 4935 500 3 0.60 1.47
Uzbekistan 33323 669 2.05 14337 216 5 2.37 0.65
Venezuela 30369 1281 4.40 16756 259 12 4.86 0.85
Moldova 29087 390 1.36 6982 878 15 1.74 3.02
Serbia 28998 247 0.86 6555 661 3 0.46 2.28
Kenya 28754 650 2.31 13153 460 4 0.88 1.60
Ireland 26929 91 0.34 1103 1774 0 0.00 6.59
Ethiopia 26204 1086 4.32 14271 479 16 3.46 1.83
Costa Rica 26129 1072 4.28 13000 272 9 3.42 1.04
Nepal 24957 525 2.15 6716 95 4 4.40 0.38
Australia 22742 384 1.72 9147 375 14 3.88 1.65
Austria 22594 155 0.69 2495 725 1 0.14 3.21
El Salvador 21993 349 1.61 8616 584 7 1.21 2.66
Czechia 19401 326 1.71 4601 391 0 0.00 2.02
Cameroon 18308 45 0.25 1786 401 0 0.00 2.19
Cote d’Ivoire 16889 42 0.25 1888 107 2 1.90 0.63
Denmark 15590 167 1.08 1996 621 0 0.00 3.98
West Bank and Gaza 15491 307 2.02 5747 106 1 0.95 0.68
Bosnia and Herzegovina 15184 223 1.49 5722 458 5 1.10 3.02
Korea, South 14873 103 0.70 894 305 0 0.00 2.05
Bulgaria 13893 0 0.00 4040 482 0 0.00 3.47
Madagascar 13522 125 0.93 5141 162 6 3.85 1.20
North Macedonia 12357 140 1.15 2688 532 2 0.38 4.31
Sudan 12115 82 0.68 878 792 6 0.76 6.54
Senegal 11740 153 1.32 2474 244 2 0.83 2.08
Kosovo 10795 376 3.61 4328 365 24 7.04 3.38

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 597984 6608 1.12 167211 10870 117 1.09 1.82 15134.15 275.10 1 in 66
Florida 557137 6236 1.13 167269 8913 148 1.69 1.60 25940.21 414.99 1 in 39
Texas 530857 6880 1.31 157820 9771 244 2.56 1.84 18308.01 336.98 1 in 55
New York 423440 737 0.17 13743 32805 8 0.02 7.75 21766.71 1686.32 1 in 46
Georgia 228668 2515 1.11 72061 4538 82 1.84 1.98 21537.05 427.41 1 in 46
Illinois 201727 1834 0.92 33631 7905 24 0.30 3.92 15919.34 623.83 1 in 63
Arizona 190794 1351 0.71 37850 4383 36 0.83 2.30 25055.38 575.58 1 in 40
New Jersey 186594 656 0.35 8707 15893 8 0.05 8.52 21007.66 1789.31 1 in 48
North Carolina 140824 1085 0.78 33699 2287 7 0.31 1.62 13427.05 218.06 1 in 74
Louisiana 135439 1135 0.85 33789 4402 46 1.06 3.25 29134.22 946.91 1 in 34
Tennessee 128511 2118 1.68 41524 1313 24 1.86 1.02 18806.93 192.15 1 in 53
Pennsylvania 126905 987 0.78 17868 7395 15 0.20 5.83 9912.91 577.64 1 in 101
Massachusetts 122319 319 0.26 7672 8790 21 0.24 7.19 17601.11 1264.84 1 in 57
Alabama 105557 771 0.74 31345 1890 8 0.43 1.79 21528.25 385.46 1 in 46
Ohio 105426 1178 1.13 25240 3755 21 0.56 3.56 9019.17 321.24 1 in 111
South Carolina 103909 935 0.91 27303 2184 40 1.87 2.10 20181.54 424.18 1 in 50
Virginia 103622 1101 1.07 22385 2363 11 0.47 2.28 12140.09 276.84 1 in 82
Michigan 99856 1167 1.18 15425 6555 16 0.24 6.56 9998.74 656.36 1 in 100
Maryland 98160 776 0.80 17324 3620 8 0.22 3.69 16236.39 598.77 1 in 62
Indiana 77565 1043 1.36 17963 3105 19 0.62 4.00 11521.46 461.21 1 in 87
Mississippi 69986 612 0.88 21933 2011 22 1.11 2.87 23515.62 675.71 1 in 43
Washington 65339 637 0.98 15330 1736 12 0.70 2.66 8580.42 227.97 1 in 117
Missouri 64429 1473 2.34 26369 1356 2 0.15 2.10 10497.72 220.94 1 in 95
Wisconsin 63206 943 1.51 17307 1018 7 0.69 1.61 10855.60 174.84 1 in 92
Minnesota 62993 690 1.11 14272 1731 7 0.41 2.75 11169.70 306.93 1 in 90
Nevada 58650 602 1.04 18731 1030 34 3.41 1.76 19041.24 334.40 1 in 53
Colorado 52200 463 0.89 9905 1882 7 0.37 3.61 9064.49 326.81 1 in 110
Arkansas 51766 670 1.31 15507 582 10 1.75 1.12 17153.41 192.85 1 in 58
Connecticut 50782 76 0.15 2550 4450 0 0.00 8.76 14243.45 1248.15 1 in 70
Iowa 50373 400 0.80 9577 960 7 0.73 1.91 15965.73 304.27 1 in 63
Oklahoma 46103 705 1.55 18134 638 11 1.75 1.38 11651.08 161.23 1 in 86
Utah 45424 334 0.74 9325 353 2 0.57 0.78 14168.62 110.11 1 in 71
Kentucky 37686 741 2.01 12539 796 6 0.76 2.11 8435.26 178.17 1 in 119
Kansas 32484 387 1.21 8528 403 6 1.51 1.24 11150.19 138.33 1 in 90
Nebraska 29660 416 1.42 5842 360 4 1.12 1.21 15332.86 186.10 1 in 65
Idaho 26629 495 1.89 9892 251 5 2.03 0.94 14859.39 140.06 1 in 67
Puerto Rico 24446 372 1.55 10973 306 11 3.73 1.25 7654.46 95.81 1 in 131
New Mexico 22987 171 0.75 4824 697 2 0.29 3.03 10962.74 332.41 1 in 91
Oregon 22300 278 1.26 6587 383 8 2.13 1.72 5287.20 90.81 1 in 189
Rhode Island 20240 111 0.55 2092 1019 1 0.10 5.03 19105.86 961.90 1 in 52
Delaware 15967 202 1.28 2043 593 1 0.17 3.71 16397.20 608.98 1 in 61
District of Columbia 13024 65 0.50 1453 594 1 0.17 4.56 18454.15 841.66 1 in 54
South Dakota 9897 82 0.84 1754 148 1 0.68 1.50 11187.36 167.30 1 in 89
North Dakota 8171 201 2.52 2678 120 0 0.00 1.47 10722.22 157.47 1 in 93
West Virginia 8163 145 1.81 2711 153 0 0.00 1.87 4567.62 85.61 1 in 219
New Hampshire 6921 34 0.49 603 422 2 0.48 6.10 5090.05 310.36 1 in 196
Montana 5407 139 2.64 2498 81 1 1.25 1.50 5059.05 75.79 1 in 198
Hawaii 4312 354 8.94 2822 40 2 5.26 0.93 3045.47 28.25 1 in 328
Maine 4089 19 0.47 352 126 0 0.00 3.08 3041.93 93.74 1 in 329
Alaska 3963 84 2.17 1770 27 0 0.00 0.68 5417.30 36.91 1 in 185
Wyoming 3119 33 1.07 772 30 1 3.45 0.96 5389.12 51.84 1 in 186
Vermont 1484 6 0.41 107 58 0 0.00 3.91 2378.25 92.95 1 in 420

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 9445493 597984 6.33 2667189 167211 6.27 239052.4
2 Florida 4122118 557137 13.52 911176 167269 18.36 191925.1
3 Texas 4230763 530857 12.55 1066107 157820 14.80 145909.1
4 New York 6816381 423440 6.21 1448043 13743 0.95 350392.5
5 Georgia 1942610 228668 11.77 605672 72061 11.90 182964.4
6 Illinois 3237107 201727 6.23 847739 33631 3.97 255457.1
7 Arizona 1058178 190794 18.03 235465 37850 16.07 138961.6
8 New Jersey 2403690 186594 7.76 544052 8707 1.60 270619.1
9 North Carolina 1850689 140824 7.61 327014 33699 10.31 176456.4
10 Louisiana 1615980 135439 8.38 441112 33789 7.66 347612.7
11 Tennessee 1787721 128511 7.19 491736 41524 8.44 261623.8
12 Pennsylvania 1410994 126905 8.99 325377 17868 5.49 110216.8
13 Massachusetts 1389980 122319 8.80 319918 7672 2.40 200011.4
14 Alabama 802562 105557 13.15 183035 31345 17.13 163681.8
15 Ohio 1753307 105426 6.01 508281 25240 4.97 149995.0
16 South Carolina 806028 103909 12.89 187554 27303 14.56 156549.4
17 Virginia 1306103 103622 7.93 333903 22385 6.70 153019.8
18 Michigan 2222386 99856 4.49 635662 15425 2.43 222531.1
19 Maryland 1095094 98160 8.96 306053 17324 5.66 181136.6
20 Indiana 877970 77565 8.83 211687 17963 8.49 130413.2
21 Mississippi 508426 69986 13.77 104414 21933 21.01 170833.5
22 Washington 1014809 65339 6.44 159657 15330 9.60 133266.4
23 Missouri 811357 64429 7.94 208073 26369 12.67 132198.2
24 Wisconsin 1102817 63206 5.73 274306 17307 6.31 189408.2
25 Minnesota 963096 62993 6.54 57781 14272 24.70 170772.8
26 Nevada 533144 58650 11.00 119008 18731 15.74 173089.9
27 Colorado 825062 52200 6.33 359651 9905 2.75 143271.4
28 Arkansas 583480 51766 8.87 137000 15507 11.32 193344.5
29 Connecticut 927335 50782 5.48 239447 2550 1.06 260101.1
30 Iowa 534813 50373 9.42 98527 9577 9.72 169509.1
31 Oklahoma 731272 46103 6.30 218097 18134 8.31 184806.0
32 Utah 584656 45424 7.77 99234 9325 9.40 182365.5
33 Kentucky 687620 37686 5.48 162825 12539 7.70 153910.1
34 Kansas 334563 32484 9.71 65877 8528 12.95 114839.3
35 Nebraska 309644 29660 9.58 64071 5842 9.12 160071.7
36 Idaho 214613 26629 12.41 57787 9892 17.12 119757.4
38 New Mexico 644823 22987 3.56 155489 4824 3.10 307522.9
39 Oregon 467263 22300 4.77 108772 6587 6.06 110785.2
40 Rhode Island 228474 20240 8.86 39135 2092 5.35 215671.5
41 Delaware 205628 15967 7.76 43277 2043 4.72 211168.2
42 District of Columbia 229649 13024 5.67 67628 1453 2.15 325397.6
43 South Dakota 124770 9897 7.93 22234 1754 7.89 141037.4
44 North Dakota 175040 8171 4.67 34224 2678 7.82 229692.6
45 West Virginia 339515 8163 2.40 88443 2711 3.07 189976.0
46 New Hampshire 181616 6921 3.81 34737 603 1.74 133569.6
47 Montana 197820 5407 2.73 51602 2498 4.84 185089.9
48 Hawaii 150587 4312 2.86 41774 2822 6.76 106356.4
49 Maine 202284 4089 2.02 54609 352 0.64 150485.2
50 Alaska 294053 3963 1.35 104544 1770 1.69 401961.6
51 Wyoming 59571 3119 5.24 11402 772 6.77 102928.9
52 Vermont 105907 1484 1.40 19325 107 0.55 169725.8

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 572734 12608 2.25 401442 70.09 151555 19427 364 1.91 3.39
Tamil Nadu 326245 5890 1.84 267015 81.84 53716 5514 117 2.17 1.69
Andhra Pradesh 273085 8943 3.39 180703 66.17 89907 2475 97 4.08 0.91
Karnataka 211108 7908 3.89 128182 60.72 79199 3718 104 2.88 1.76
Delhi 150652 1192 0.80 135108 89.68 11366 4178 11 0.26 2.77
Uttar Pradesh 145287 4512 3.21 92526 63.68 50426 2335 55 2.41 1.61
West Bengal 110358 3035 2.83 81189 73.57 26850 2319 60 2.66 2.10
Bihar 98370 3911 4.14 65307 66.39 32562 500 16 3.31 0.51
Telangana 88396 1921 2.22 64284 72.72 23438 674 9 1.35 0.76
Gujarat 76569 1087 1.44 59622 77.87 14201 2746 15 0.55 3.59
Assam 74502 2706 3.77 51694 69.39 22630 175 6 3.55 0.23
Rajasthan 58692 1278 2.23 43897 74.79 13949 846 13 1.56 1.44
Odisha 54630 1977 3.75 39206 71.77 15047 377 10 2.72 0.69
Haryana 45614 797 1.78 38348 84.07 6748 518 7 1.37 1.14
Madhya Pradesh 43414 796 1.87 32405 74.64 9928 1081 16 1.50 2.49
Kerala 41277 1569 3.95 26992 65.39 14097 140 10 7.69 0.34
Punjab 29013 1077 3.86 18328 63.17 9954 731 25 3.54 2.52
Jammu and Kashmir 27489 540 2.00 19942 72.55 7027 520 11 2.16 1.89
Jharkhand 22125 1175 5.61 13678 61.82 8223 224 15 7.18 1.01
Chhattisgarh 14559 529 3.77 9857 67.70 4572 130 13 11.11 0.89
Uttarakhand 11615 313 2.77 7502 64.59 3924 147 4 2.80 1.27
Goa 10970 476 4.54 7157 65.24 3720 93 2 2.20 0.85
Puducherry 6995 315 4.72 4009 57.31 2880 106 4 3.92 1.52
Tripura 6782 164 2.48 5015 73.95 1703 46 2 4.55 0.68
Manipur 4198 86 2.09 2360 56.22 1825 13 0 0.00 0.31
Himachal Pradesh 3874 58 1.52 2551 65.85 1269 18 0 0.00 0.46
Nagaland 3322 154 4.86 1198 36.06 2110 7 0 0.00 0.21
Arunachal Pradesh 2607 95 3.78 1750 67.13 852 5 1 25.00 0.19
Andaman and Nicobar Islands 2186 149 7.31 1032 47.21 1130 24 2 9.09 1.10
Chandigarh 1928 86 4.67 1091 56.59 807 29 1 3.57 1.50
Ladakh 1879 30 1.62 1303 69.35 567 9 0 0.00 0.48
Dadra and Nagar Haveli and Daman and Diu 1782 41 2.35 1312 73.63 455 2 0 0.00 0.11
Meghalaya 1228 35 2.93 581 47.31 641 6 0 0.00 0.49
Sikkim 1080 148 15.88 623 57.69 456 1 0 0.00 0.09
Mizoram 657 8 1.23 347 52.82 310 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1394380 97128 74 0.08 6.97 170 11 5539 16835 17.33
Piemonte 530384 31982 26 0.08 6.03 77 3 864 4139 12.94
Emilia-Romagna 752657 30257 37 0.12 4.02 79 4 1827 4298 14.20
Veneto 1342714 20885 84 0.40 1.56 30 6 1385 2094 10.03
Toscana 460694 10735 28 0.26 2.33 13 3 590 1137 10.59
Liguria 206804 10393 63 0.61 5.03 20 2 257 1569 15.10
Lazio 449886 8956 36 0.40 1.99 195 9 1127 869 9.70
Marche 180090 6987 11 0.16 3.88 8 0 169 987 14.13
Campania 354546 5170 27 0.52 1.46 38 2 447 440 8.51
P.A. Trento 166427 5000 2 0.04 3.00 1 1 63 405 8.10
Puglia 262847 4809 16 0.33 1.83 46 2 276 554 11.52
Sicilia 303687 3645 42 1.17 1.20 42 6 604 284 7.79
Abruzzo 138681 3532 16 0.46 2.55 24 1 234 472 13.36
Friuli Venezia Giulia 277160 3476 15 0.43 1.25 7 3 176 348 10.01
P.A. Bolzano 118412 2781 3 0.11 2.35 7 1 122 292 10.50
Umbria 131041 1524 7 0.46 1.16 10 0 62 80 5.25
Sardegna 116177 1479 17 1.16 1.27 8 0 98 134 9.06
Calabria 131392 1316 12 0.92 1.00 8 1 119 97 7.37
Valle d’Aosta 22938 1217 0 0.00 5.31 3 0 14 146 12.00
Molise 29599 485 6 1.25 1.64 0 0 35 23 4.74
Basilicata 50248 478 1 0.21 0.95 0 0 73 28 5.86

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 60917 104 0.17 5715 6 0.11 9.38 7135.08 669.39 1 in 140
Ontario 42313 80 0.19 2834 1 0.04 6.70 2876.12 192.63 1 in 348
Alberta 11969 76 0.64 220 3 1.38 1.84 2712.12 49.85 1 in 369
British Columbia 4274 163 3.96 196 1 0.51 4.59 836.25 38.35 1 in 1196
Saskatchewan 1511 27 1.82 20 0 0.00 1.32 1278.70 16.93 1 in 782
Nova Scotia 1071 0 0.00 64 0 0.00 5.98 1095.70 65.48 1 in 913
Manitoba 603 25 4.33 8 0 0.00 1.33 437.74 5.81 1 in 2284
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 180 2 1.12 2 0 0.00 1.11 230.77 2.56 1 in 4333
Prince Edward Island 41 0 0.00 0 0 NaN 0.00 259.23 0.00 1 in 3858
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4312 66 1.53
Guangdong 1707 8 0.47
Henan 1276 22 1.72
Zhejiang 1275 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 891 3 0.34
Shandong 821 7 0.85
Shanghai 816 7 0.86
Jiangsu 659 0 0.00
Sichuan 619 3 0.48
Chongqing 583 6 1.03
Fujian 368 1 0.27
Hebei 351 6 1.71
Shaanxi 346 3 0.87
Liaoning 261 2 0.77
Inner Mongolia 259 1 0.39
Guangxi 255 2 0.78
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 16041.73 510.73 1 in 62
Brazil 15407.91 503.88 1 in 65
India 1838.08 35.88 1 in 544
Russia 6268.25 106.25 1 in 160
South Africa 10099.88 198.70 1 in 99
Mexico 3914.48 427.96 1 in 255
Peru 15497.51 674.95 1 in 65
Colombia 8840.53 288.26 1 in 113
Chile 21054.52 570.58 1 in 47
Spain 7229.62 613.05 1 in 138
Iran 4143.96 236.10 1 in 241
United Kingdom 4750.15 704.26 1 in 211
Saudi Arabia 8941.07 100.27 1 in 112
Pakistan 1455.20 31.16 1 in 687
Argentina 6236.10 121.12 1 in 160
Bangladesh NA NA 1 in NA
Italy 4170.55 582.52 1 in 240
Turkey 3039.66 73.16 1 in 329
France 3643.77 453.68 1 in 274
Germany 2684.88 111.33 1 in 372

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 229167 23610 10.30
Los Angeles California 214425 5113 2.38
Miami-Dade Florida 140984 1954 1.39
Maricopa Arizona 127768 2517 1.97
Cook Illinois 113788 4943 4.34
Harris Texas 89425 1713 1.92
Broward Florida 64741 883 1.36
Dallas Texas 56428 807 1.43
Clark Nevada 50569 869 1.72
Suffolk New York 43987 1998 4.54
Riverside California 43983 853 1.94
Nassau New York 43795 2195 5.01
Bexar Texas 43673 850 1.95
Orange California 42171 769 1.82
San Bernardino California 38290 555 1.45
Palm Beach Florida 38208 964 2.52
Westchester New York 36357 1447 3.98
Hillsborough Florida 33428 427 1.28
San Diego California 33393 608 1.82
Tarrant Texas 33070 480 1.45
Orange Florida 32575 330 1.01
Philadelphia Pennsylvania 31910 1709 5.36
Wayne Michigan 28690 2833 9.87
Middlesex Massachusetts 26565 2006 7.55
Kern California 25499 187 0.73
Prince George’s Maryland 24301 766 3.15
Duval Florida 24162 212 0.88
Shelby Tennessee 23943 319 1.33
Travis Texas 23718 328 1.38
Mecklenburg North Carolina 22803 246 1.08
Suffolk Massachusetts 22017 1076 4.89
Milwaukee Wisconsin 21666 462 2.13
Fulton Georgia 21373 462 2.16
Davidson Tennessee 21280 221 1.04
Salt Lake Utah 21199 204 0.96
Bergen New Jersey 20940 2035 9.72
Gwinnett Georgia 20900 282 1.35
Hidalgo Texas 20767 881 4.24
Hennepin Minnesota 19873 842 4.24
Essex New Jersey 19840 2110 10.64
Hudson New Jersey 19792 1508 7.62
Franklin Ohio 19124 533 2.79
Pima Arizona 19001 511 2.69
Montgomery Maryland 18752 807 4.30
Fresno California 18344 191 1.04
Pinellas Florida 18329 536 2.92
Fairfield Connecticut 18126 1410 7.78
Middlesex New Jersey 18015 1411 7.83
Essex Massachusetts 17930 1194 6.66
Passaic New Jersey 17801 1242 6.98
El Paso Texas 17378 330 1.90
Cameron Texas 17316 506 2.92
King Washington 17118 686 4.01
Lee Florida 17039 368 2.16
Union New Jersey 16812 1349 8.02
Fairfax Virginia 16703 530 3.17
Out of GA Georgia 16659 98 0.59
Nueces Texas 16403 270 1.65
Marion Indiana 16304 733 4.50
Oakland Michigan 16083 1136 7.06
St. Louis Missouri 15872 673 4.24
Providence Rhode Island 15644 0 0.00
Jefferson Louisiana 15597 529 3.39
Polk Florida 14992 343 2.29
DeKalb Georgia 14563 251 1.72
Alameda California 14548 216 1.48
Cobb Georgia 14463 332 2.30
San Joaquin California 14276 245 1.72
Cuyahoga Ohio 13999 519 3.71
Rockland New York 13973 674 4.82
Worcester Massachusetts 13686 1007 7.36
Baltimore Maryland 13593 572 4.21
Jefferson Alabama 13578 262 1.93
New Haven Connecticut 13272 1109 8.36
Sacramento California 13216 194 1.47
Baltimore City Maryland 13063 435 3.33
Santa Clara California 13059 207 1.59
Lake Illinois 13047 450 3.45
District of Columbia District of Columbia 13024 594 4.56
Hartford Connecticut 12855 1416 11.02
Charleston South Carolina 12631 209 1.65
DuPage Illinois 12592 523 4.15
East Baton Rouge Louisiana 12587 369 2.93
Wake North Carolina 12406 179 1.44
Tulare California 11847 205 1.73
Douglas Nebraska 11802 142 1.20
Yuma Arizona 11703 291 2.49
Stanislaus California 11592 182 1.57
Orange New York 11210 491 4.38
Oklahoma Oklahoma 11148 121 1.09
Greenville South Carolina 11109 222 2.00
Tulsa Oklahoma 10999 113 1.03
Macomb Michigan 10953 949 8.66
Orleans Louisiana 10899 565 5.18
Fort Bend Texas 10823 183 1.69
Mobile Alabama 10747 221 2.06
Norfolk Massachusetts 10682 997 9.33
Ocean New Jersey 10668 1020 9.56
Collier Florida 10640 148 1.39
Polk Iowa 10612 210 1.98

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc